Algorithmic governance: A modes of governance approach

This article examines how modes of governance are reconfigured as a result of using algorithms in the governance process. We argue that deploying algorithmic systems creates a shift toward a special form of design-based governance, with power exercised ex ante via choice architectures defined through protocols, requiring lower levels of commitment from governing actors. We use governance of three policy problems - speeding, disinformation, and social sharing - to illustrate what happens when algorithms are deployed to enable coordination in modes of hierarchical governance, self-governance, and co-governance. Our analysis shows that algorithms increase efficiency while decreasing the space for governing actors' discretion. Furthermore, we compare the effects of algorithms in each of these cases and explore sources of convergence and divergence between the governance modes. We suggest design-based governance modes that rely on algorithmic systems might be re-conceptualized as algorithmic governance to account for the prevalence of algorithms and the significance of their effects.

Automated summary

This article explores the reconfiguration of governance modes through the use of algorithms in the governance process. It argues that the deployment of algorithmic systems leads to a design-based governance mode, where power is exercised through protocols and requires less commitment from governing actors. The analysis of three policy problems demonstrates that algorithms enhance efficiency but limit the discretion of governing actors. Additionally, the effects of algorithms in different governance modes are compared, and the sources of convergence and divergence are explored. The article suggests re-conceptualizing design-based governance modes that rely on algorithmic systems as algorithmic governance to account for the prevalence of algorithms and their significant effects.